Management innovation made in China: Haier’s Rendanheyi

This article shows how emerging market companies like China’s Haier Group create management innovations that are appropriate for an environment characterized by increased volatility, uncertainty, complexity, and ambiguity (VUCA). Dealing with VUCA effectively requires practices favoring nimble and decentralized responses; the Haier Group developed a platform of management practices under the label Rendanheyi (in Chinese: 人单合一) to transform itself from a conventional hierarchical manufacturing firm into a highly responsive online-based entrepreneurial company with “zero distance to the customer”. We demonstrate how the organizational, competitive, institutional, and technological contexts mattered for the development of Rendanheyi. Our study contributes several insights for practitioners and academics. First, we showcase how context dependent management innovations are created to allow emerging market firms like Haier to deal with a high VUCA world. Second, we draw lessons from Haier’s experimentation process for other firms. Finally, we create an extended process model of management innovation that managers, in both emerging and developed countries, can readily apply

A Secure and Fair Resource Sharing Model for Community Clouds

Cloud computing has gained a lot of importance and has been one of the most discussed segment of today\u27s IT industry. As enterprises explore the idea of using clouds, concerns have emerged related to cloud security and standardization. This thesis explores whether the Community Cloud Deployment Model can provide solutions to some of the concerns associated with cloud computing. A secure framework based on trust negotiations for resource sharing within the community is developed as a means to provide standardization and security while building trust during resource sharing within the community. Additionally, a model for fair sharing of resources is developed which makes the resource availability and usage transparent to the community so that members can make informed decisions about their own resource requirements based on the resource usage and availability within the community. Furthermore, the fair-share model discusses methods that can be employed to address situations when the demand for a resource is higher than the resource availability in the resource pool. Various methods that include reduction in the requested amount of resource, early release of the resources and taxing members have been studied, Based on comparisons of these methods along with the advantages and disadvantages of each model outlined, a hybrid method that only taxes members for unused resources is developed. All these methods have been studied through simulations

Healthcare Data Analytics on the Cloud

Meaningful analysis of voluminous health information has always been a challenge in most healthcare organizations. Accurate and timely information required by the management to lead a healthcare organization through the challenges found in the industry can be obtained using business intelligence (BI) or business analytics tools. However, these require large capital investments to implement and support the large volumes of data that needs to be analyzed to identify trends. They also require enormous processing power which places pressure on the business resources in addition to the dynamic changes in the digital technology. This paper evaluates the various nuances of business analytics of healthcare hosted on the cloud computing environment. The paper explores BI being offered as Software as a Service (SaaS) solution towards offering meaningful use of information for improving functions in healthcare enterprise. It also attempts to identify the challenges that healthcare enterprises face when making use of a BI SaaS solution